Photo Quiz: HIV-Infected Female with Thigh Pain

2021 ◽  
Vol 59 (10) ◽  
Author(s):  
Izabella Picinin Safe ◽  
Vanderson Souza Sampaio ◽  
Márcia Melo Damian ◽  
Vanessa Lima da Silva ◽  
Camille Albuquerque Rodrigues Chirano ◽  
...  
Keyword(s):  
2018 ◽  
Vol 1 (3) ◽  
pp. 26-38
Author(s):  
Abdulghani Mohamed Alsamarai ◽  
Shler Ali Khorshed

Background: Urinary tract infection is common with health impact in women and characterised by failure to treatment and recurrent episodes. Aim: This study was conducted to determine the risk factors for the development of urinary tract infection in diabetic and pregnant women in comparison to student female. Materials and methods: A prospective cross-sectional study conducted during the period from 1st of June 2015 to the end of January 2016. The population included in the study are 563 women, of them 425 were outpatients, and 138 were inpatients. Their age range between 18 and 80 years, with a mean age of 33.59±15.29 years. Urine samples collected and cultured on blood agar and MacConkey agar by spread plate technique. Bacterial colonies with different morphology were selected, purified and identified according to their biochemical characteristics using conventional standard methods. Results: In diabetic women, there were no significant difference in mean age and BMI values between culture positive and culture negative groups. However, pus cell mean scale was significantly higher [P=0.000] in women with urinary tract infection [1.76±1.25] than in those with negative culture [0.69±1.00]. In pregnant women, BMI mean value was significantly [P=0.013] lower in pregnant women with UTI [26.14] as compared to those without infection [26.99]. Pus cell scale mean value was significantly [P=0.000] higher in pregnant women with UTI [1.55] than women with negative UTI [0.85]. While there was no significant difference in mean age between UTI positive and negative pregnant women. In female student, there was a significant difference between UTI infected and non-infected in mean age [P=0.041] and pus cell scale [P=0.000]. However, BMI was not significantly different between infected and non-infected female student. Other risk factors association are variables in the 3 groups when analysed using X2, while AUC and OR show different trends of association between risk factors and UTI. Conclusion: BMI, pus cell scale, child number, delivery method, operation history and hospital setting were significantly associated with culture positivity in the 3 studied groups as determined by AUC. While OR confirmed association with pus sale scale in the 3 groups.


2021 ◽  
Vol 11 (5) ◽  
pp. 2284
Author(s):  
Asma Maqsood ◽  
Muhammad Shahid Farid ◽  
Muhammad Hassan Khan ◽  
Marcin Grzegorzek

Malaria is a disease activated by a type of microscopic parasite transmitted from infected female mosquito bites to humans. Malaria is a fatal disease that is endemic in many regions of the world. Quick diagnosis of this disease will be very valuable for patients, as traditional methods require tedious work for its detection. Recently, some automated methods have been proposed that exploit hand-crafted feature extraction techniques however, their accuracies are not reliable. Deep learning approaches modernize the world with their superior performance. Convolutional Neural Networks (CNN) are vastly scalable for image classification tasks that extract features through hidden layers of the model without any handcrafting. The detection of malaria-infected red blood cells from segmented microscopic blood images using convolutional neural networks can assist in quick diagnosis, and this will be useful for regions with fewer healthcare experts. The contributions of this paper are two-fold. First, we evaluate the performance of different existing deep learning models for efficient malaria detection. Second, we propose a customized CNN model that outperforms all observed deep learning models. It exploits the bilateral filtering and image augmentation techniques for highlighting features of red blood cells before training the model. Due to image augmentation techniques, the customized CNN model is generalized and avoids over-fitting. All experimental evaluations are performed on the benchmark NIH Malaria Dataset, and the results reveal that the proposed algorithm is 96.82% accurate in detecting malaria from the microscopic blood smears.


Author(s):  
George Boo ◽  
Amanda Ji ◽  
Adam Morton

2012 ◽  
Vol 470 (8) ◽  
pp. 2339-2344
Author(s):  
Adam O. Burzynski ◽  
Alfredo Luis Valente ◽  
Timothy A. Damron
Keyword(s):  

2014 ◽  
Vol 104 (9) ◽  
pp. 964-969 ◽  
Author(s):  
Yosuke Matsushita ◽  
Shinya Tsuda

Embryo infection is important for efficient seed transmission of viroids. To identify the major pattern of seed transmission of viroids, we used in situ hybridization to histochemically analyze the distribution of Potato spindle tuber viroid (PSTVd) in each developmental stage of petunia (flowering to mature seed stages). In floral organs, PSTVd was present in the reproductive tissues of infected female × infected male and infected female × healthy male but not of healthy female × infected male before embryogenesis. After pollination, PSTVd was detected in the developed embryo and endosperm in all three crosses. These findings indicate that PSTVd is indirectly delivered to the embryo through ovule or pollen during the development of reproductive tissues before embryogenesis but not directly through maternal tissues as cell-to-cell movement during embryogenesis.


2016 ◽  
Vol 24 (3) ◽  
pp. 317-322 ◽  
Author(s):  
Yoon Je Cho ◽  
Young Soo Chun ◽  
Kee Hyung Rhyu ◽  
Jong Hun Baek ◽  
Hu Liang

Purpose To review 437 hips in 404 patients who underwent total hip arthroplasty (THA) or hemiarthroplasty using the Accolade TMZF stem to determine the incidence and risk factors of distal femoral cortical hypertrophy (DFCH). Methods Records of 437 hips in 169 men and 235 women aged 26 to 100 (mean, 65.7) years who underwent THA (n=293) or hemiarthroplasty (n=144) using the Accolade TMZF femoral stem by 2 senior surgeons and were followed up for a mean of 54.7 months were reviewed. Clinical outcome was assessed using the modified Harris Hip Score and visual analogue score for pain. Proximal femoral geometry and canal flare index were assessed on preoperative radiographs, and DFCH, stem position, subsidence, loosening, and stress shielding were assessed on postoperative radiographs according to the Gruen zone. Results Of 437 hips, 27 (6.2%) developed DFCH and 410 did not. Hips with DFCH had a higher incidence of thigh pain (18.5% vs. 2.2%, p<0.001) and earlier onset of thigh pain (12.3 vs. 20.8 months, p=0.015), compared with those without. Nonetheless, all femoral stems were well-fixed, and no osteolysis or loosening was detected. The 2 groups achieved comparable clinical outcome in terms of Harris Hip Score and pain. The mean canal flare index was higher in hips with than without DFCH (3.706 vs. 3.294, p=0.002). The mean vertical subsidence of the femoral stem was lower in hips with than without DFCH (1.5 vs. 3.4 mm p<0.001). Subsidence negatively correlated with the canal flare index (correlation coefficient= −0.110, p=0.022). The incidence of the DFCH increased with each unit of increment in canal flare index (odds ratio [OR]=1.828, p=0.043) and each year younger in age (OR=0.968, p=0.015). Conclusion The incidence of DFCH in hips with the Accolade TMZF stem was 6.2%. Patients with a higher canal flare index and younger age had a higher incidence of DFCH. Nonetheless, DFCH did not affect clinical outcome or femoral stem stability.


1999 ◽  
Vol 359 ◽  
pp. 254-258, 260-262 ◽  
Author(s):  
Nikhil N. Verma ◽  
David A. Spiegel ◽  
M. Patricia Harty ◽  
Marta E. Guttenberg ◽  
John P. Dormans
Keyword(s):  

Orthopedics ◽  
1997 ◽  
Vol 20 (1) ◽  
pp. 58-61
Author(s):  
Ajit K Mishra ◽  
Harry B Skinner ◽  
James A Davidson
Keyword(s):  

Orthopedics ◽  
2000 ◽  
Vol 23 (1) ◽  
pp. 21-24
Author(s):  
Benjamin Domb ◽  
Emmanuel Hostin ◽  
Michael A Mont ◽  
David S Hungerford

Orthopedics ◽  
2000 ◽  
Vol 23 (11) ◽  
pp. 1136-1136
Author(s):  
John B Fenning ◽  
Benjamin Domb ◽  
Emmanual Hostin ◽  
Michael A Mont ◽  
David S Hungerford
Keyword(s):  

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